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\begin{table}[h]
\caption{Balance Table}
\label{tab:BalanceTable}
\begin{threeparttable}
\begin{center}
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\scalebox{.9}{	
\begin{tabular}{l|rr}
\toprule
\textbf{Variable} & \textbf{Estimate} & \textbf{p-value}\\
\midrule
Age & 0.004 & 0.208\\
Male & 0.026 & 0.466\\
Education & -0.071 & 0.041\\
Catholic & -0.047 & 0.564\\
Lives in Sorsogon & 0.059 & 0.262\\
Commute & -0.013 & 0.336\\
Years Served & -0.001 & 0.836\\
\midrule
Share Citizen Concerns & 0.034 & 0.105\\
Officer Attitude Index & -0.030 & 0.286\\
Trust Index & -0.009 & 0.687\\
Empathy Index & -0.020 & 0.246\\
Accountability Index & -0.017 & 0.645\\
Corruption Index & 0.011 & 0.692\\
\bottomrule
\end{tabular}}
\end{center}
\begin{tablenotes}[flushleft]
\small{\item Each row reports the estimates and p-values from regressions that predict treatment status based on pre-treatment officer attributes (demographic and attitudinal). All regressions include station and rank fixed effects to account for blocking. Standard errors are clustered at the station level.
\end{tablenotes}
\end{threeparttable}
\end{table}